Ahmad Moh. Nur, H. Huda, R. Fathoni
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摘要

甘露(Calophyllum inophyllum L.)是印尼一种极具开发潜力的燃料源植物。含油量为60-75%。本研究的目的是在不同的操作条件下,对正己烷溶剂提取林麻龙籽油的工艺进行优化,获得最佳的提取操作条件。在工艺阶段,将使用己烷溶剂进行提取,并有几个操作变化,即提取温度(35-45℃);提取时间(4-6小时);在200 ~ 600 rpm的搅拌速度下,采用响应面法(Response Surface Methodology, RSM)对龙花籽油提取工艺进行优化。然后通过收率、酸值、密度和粘度等多项分析对所得油进行了表征。根据研究结果,在温度40℃、提取时间5 h、搅拌转速500 rpm的条件下,对龙葵籽油的提取工艺进行优化,得油率为52.43%。以最大得油率为目标进行优化,在45℃、6 h萃取时间、600 rpm搅拌转速下得油率为55.33%。每种油品质量的优化不会产生显著的模型响应。优化所得油的酸值为10.51 mgKOH/g,密度为0.94 g/ml,粘度为4.47 cp。关键词:花椒,油,优化,响应面法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OPTIMALISASI PROSES EKSTRAKSI MINYAK BIJI NYAMPLUNG MENGGUNAKAN RESPONSE SURFACE METHODOLOGY (RSM)
Nyamplung (Calophyllum inophyllum L.) is a plant with great potential as a fuel source that can be developed in Indonesia. The oil content of nyamplung seeds is 60-75%. This study aims to optimize the process of extracting oil from nyamplung seeds using hexane solvent at various operating conditions and obtain optimum extraction operating conditions. In the process stage, extraction will be carried out using hexane solvent with several operating variations, namely extraction temperature (35-45oC); extraction time (4-6 hours); stirring speed (200-600 rpm), the process of optimizing oil extraction from nyamplung seeds was carried out using the Response Surface Methodology (RSM). The oil obtained was then characterized through several analyzes, namely yield, acid number, density and viscosity. Based on the research results, optimization of the nyamplung seed oil extraction process resulted in an oil yield of 52.43% which was obtained at 40oC, 5 hours of extraction time and 500 rpm of stirrer speed. Optimization with the aim of maximizing the oil yield response was obtained 55.33% yield at 45oC, 6 hours extraction time and 600 rpm stirrer speed. Optimization of each oil quality does not produce a significant model response. The quality of the oil resulting from the optimization of the yield is an acid number of 10.51 mgKOH/g, a density of 0.94 g/ml, and a viscosity of 4.47 cP.Keywords: calophyllum, oil, optimization, response surface methodology 
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